College of Stomatology, Chongqing Medical University, Chongqing, China.
Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, China.
Front Immunol. 2022 Sep 29;13:1015491. doi: 10.3389/fimmu.2022.1015491. eCollection 2022.
There is a bidirectional relationship between periodontitis and type 2 diabetes mellitus (T2DM). The aim of this study was to further explore the pathogenesis of this comorbidity, screen out ferroptosis-related genes involved in the pathological process, and predict potential drug targets to develop new therapeutic strategies.
Common cross-talk genes were identified from periodontitis datasets (GSE16134, GSE10334 and GSE106090) and T2DM databases (DisGeNET and GeneCard). Then, GO and KEGG enrichment analyses, PPI network analysis and hub gene identification were performed. The association between ferroptosis and periodontitis with T2DM was investigated by Pearson correlation analysis. Core ferroptosis-related cross-talk genes were identified and verified by qRT-PCR. Potential drugs targeting these core genes were predicted DGIDB.
In total, 67 cross-talk genes and two main signalling pathways (immuno-inflammatory pathway and AGE-RAGE signalling pathway) were identified. Pearson correlation analysis indicated that ferroptosis served as a crucial target in the pathological mechanism and treatment of periodontitis with T2DM. IL-1β, IL-6, NFE2L2 and ALOX5 were identified as core ferroptosis-related genes and the qRT-PCR detection results were statistically different. In total, 13 potential drugs were screened out, among which, Echinacea and Ibudilast should be developed first.
This study contributes to a deeper understanding of the common pathogenesis of periodontitis and T2DM and provides new insights into the role of ferroptosis in this comorbidity. In addition, two drugs with potential clinical application value were identified. The potential utility of these drugs requires further experimental investigation.
牙周炎和 2 型糖尿病(T2DM)之间存在双向关系。本研究旨在进一步探讨这种合并症的发病机制,筛选涉及病理过程的铁死亡相关基因,并预测潜在的药物靶点,以开发新的治疗策略。
从牙周炎数据集(GSE16134、GSE10334 和 GSE106090)和 T2DM 数据库(DisGeNET 和 GeneCard)中确定常见的交叉对话基因。然后进行 GO 和 KEGG 富集分析、PPI 网络分析和枢纽基因鉴定。通过 Pearson 相关性分析研究铁死亡与牙周炎和 T2DM 的关系。通过 qRT-PCR 鉴定和验证核心铁死亡相关交叉对话基因。通过 DGIDB 预测针对这些核心基因的潜在药物。
共确定了 67 个交叉对话基因和两个主要信号通路(免疫炎症通路和 AGE-RAGE 信号通路)。Pearson 相关性分析表明,铁死亡是牙周炎伴 T2DM 病理机制和治疗的关键靶点。IL-1β、IL-6、NFE2L2 和 ALOX5 被鉴定为核心铁死亡相关基因,qRT-PCR 检测结果差异有统计学意义。共筛选出 13 种潜在药物,其中,Echinacea 和 Ibudilast 应优先开发。
本研究有助于深入了解牙周炎和 T2DM 的共同发病机制,并为铁死亡在这种合并症中的作用提供新的见解。此外,还确定了两种具有潜在临床应用价值的药物。这些药物的潜在用途需要进一步的实验研究。